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name: senior-backend description: Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.

Senior Backend

Complete toolkit for senior backend with modern tools and best practices.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

Copy# Script 1: Api Scaffolder
python scripts/api_scaffolder.py [options]

# Script 2: Database Migration Tool
python scripts/database_migration_tool.py [options]

# Script 3: Api Load Tester
python scripts/api_load_tester.py [options]

Core Capabilities

1. Api Scaffolder

Automated tool for api scaffolder tasks.

Features:

• Automated scaffolding
• Best practices built-in
• Configurable templates
• Quality checks

Usage:

Copypython scripts/api_scaffolder.py <project-path> [options]

2. Database Migration Tool

Comprehensive analysis and optimization tool.

Features:

• Deep analysis
• Performance metrics
• Recommendations
• Automated fixes

Usage:

Copypython scripts/database_migration_tool.py <target-path> [--verbose]

3. Api Load Tester

Advanced tooling for specialized tasks.

Features:

• Expert-level automation
• Custom configurations
• Integration ready
• Production-grade output

Usage:

Copypython scripts/api_load_tester.py [arguments] [options]

Reference Documentation

Api Design Patterns

Comprehensive guide available in references/api_design_patterns.md:

• Detailed patterns and practices
• Code examples
• Best practices
• Anti-patterns to avoid
• Real-world scenarios

Database Optimization Guide

Complete workflow documentation in references/database_optimization_guide.md:

• Step-by-step processes
• Optimization strategies
• Tool integrations
• Performance tuning
• Troubleshooting guide

Backend Security Practices

Technical reference guide in references/backend_security_practices.md:

• Technology stack details
• Configuration examples
• Integration patterns
• Security considerations
• Scalability guidelines

Tech Stack

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure

Development Workflow

1. Setup and Configuration

Copy# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env

2. Run Quality Checks

Copy# Use the analyzer script
python scripts/database_migration_tool.py .

# Review recommendations
# Apply fixes

3. Implement Best Practices

Follow the patterns and practices documented in:

• references/api_design_patterns.md
• references/database_optimization_guide.md
• references/backend_security_practices.md

Best Practices Summary

Code Quality

• Follow established patterns
• Write comprehensive tests
• Document decisions
• Review regularly

Performance

• Measure before optimizing
• Use appropriate caching
• Optimize critical paths
• Monitor in production

Security

• Validate all inputs
• Use parameterized queries
• Implement proper authentication
• Keep dependencies updated

Maintainability

• Write clear code
• Use consistent naming
• Add helpful comments
• Keep it simple

Common Commands

Copy# Development
npm run dev
npm run build
npm run test
npm run lint

# Analysis
python scripts/database_migration_tool.py .
python scripts/api_load_tester.py --analyze

# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/

Troubleshooting

Common Issues

Check the comprehensive troubleshooting section in references/backend_security_practices.md.

Getting Help

• Review reference documentation
• Check script output messages
• Consult tech stack documentation
• Review error logs

Resources

• Pattern Reference: references/api_design_patterns.md
• Workflow Guide: references/database_optimization_guide.md
• Technical Guide: references/backend_security_practices.md
• Tool Scripts: scripts/ directory